State-Space Models for Online Post-Covid Electricity Load Forecasting Competition
Author:
Affiliation:
1. Laboratoire de Probabilités, Statistique et Modélisation, Sorbonne Université, Paris, France
2. Électricité de France Research and Development, Palaiseau, France
Funder
Agence Nationale de la Recherche
Electricit de France
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/8784343/9662292/09677626.pdf?arnumber=9677626
Reference32 articles.
1. Day-Ahead Electricity Demand Forecasting Competition: Post-COVID Paradigm
2. A second-order bound with excess losses;gaillard;Proc Conf Learn Theory,2014
3. Neural networks for GEFCom2017 probabilistic load forecasting
4. GEFCom2012: Electric load forecasting and backcasting with semi-parametric models
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